More details for experiments in Fig. REF .
Experiment results on both the sample-rich COCO 2017 dataset and the small-size Cityscapes dataset are summarized in Fig. REF  of our manuscript. The results on COCO 2017 are collected from the corresponding original papers, while the results on Cityscapes are based on our re-implementations. Specifically, we follow the default training setting of corresponding methods [1]}, [2]}, [3]}, [4]}, [5]}, [6]}, [7]}. The only difference is that we use a small batch size of 8 to guarantee enough training iterations on the small-size dataset. For SMCA [7]}, since only the single-scale version is made publicly available, we adopt its single-scale variant, denoted as SMCA-SS. All Cityscapes experiments are repeated for 5 runs with different random seeds and the averaged results are reported.
